A large dataset of U.S. news content analyzes the tone of economic reporting relative to household income. Timothy Jacobs Hicks from University College London created this dataset to investigate class-biased economic coverage. The research demonstrates that news tone disproportionately tracks the fortunes of the richest households.
Use Cases
- Analyze media bias in economic reporting based on textual tone analysis
- Study the correlation between news sentiment and income group welfare based on described economic aggregates
- Model the influence of structural economic features on news content based on the described interaction
- Train classifiers to identify pro-rich bias in news articles based on textual features
Strengths
- Dataset is described as 'large', suggesting substantial scale
- Focuses on a specific research question regarding class bias in U.S. economic news
Limitations
- Column-level documentation is absent; field semantics must be inferred after download
- Row count is unknown, which may limit suitability assessment
- Last update date is unknown; freshness unverified
Provenance
- Source
- University College London
- Collection Method
- Likely gathered from U.S. news content sources for text analysis.
- Geography
- United States